Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India) DOI
Abhijeet Das

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(6)

Опубликована: Май 6, 2025

Язык: Английский

Surface water quality evaluation of Mahanadi and its Tributary Katha Jodi River, Cuttack District, Odisha, using WQI, PLSR, SRI, and geospatial techniques DOI Creative Commons
Abhijeet Das

Applied Water Science, Год журнала: 2025, Номер 15(2)

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

5

Integrating piecewise and symbolic regression with remote sensing data for spatiotemporal analysis of surface water total dissolved solids in the Karun River, Iran DOI Creative Commons
Javad Zahiri, Mohammad Reza Nikoo,

Adell Moradi-Sabzkouhi

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104159 - 104159

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Surface Water Management and Geographical Information System (GIS)-Driven Optimization of Water Quality Index (WQI): A Synergistic Evaluation in Mahanadi River Basin, Odisha, India DOI
Abhijeet Das, Daniel A. Ayejoto, Samyah Salem Refadah

и другие.

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Язык: Английский

Процитировано

0

Integrating AHP and GIS for Sustainable Surface Water Planning: Identifying Vulnerability to Agricultural Diffuse Pollution in the Guachal River Watershed DOI Open Access
Víctor Felipe Terán-Gómez,

Ana María Buitrago-Ramírez,

Andrés Echeverri-Sánchez

и другие.

Sustainability, Год журнала: 2025, Номер 17(9), С. 4130 - 4130

Опубликована: Май 2, 2025

Diffuse agricultural pollution is a leading contributor to surface water degradation, particularly in regions undergoing rapid land use change and intensification. In many developing countries, conventional assessment approaches fall short of capturing the spatial complexity cumulative nature multiple environmental drivers that influence vulnerability. This study addresses this gap by introducing Integral Index Vulnerability Contamination (IIVDC), spatially explicit, multi-criteria framework combines Analytical Hierarchy Process (AHP) with Geographic Information Systems (GIS). The IIVDC integrates six key indicators—slope, soil erodibility, use, runoff potential, hydrological connectivity, observed quality—weighted through expert elicitation mapped at high resolution. methodology was applied Guachal River watershed Valle del Cauca, Colombia, where pressures are pronounced. Results indicate 33.0% exhibits vulnerability 4.3% very vulnerability, critical zones aligned steep slopes, limited vegetation cover, strong connectivity cultivated areas. By accounting for both biophysical attributes pollutant transport pathways, offers replicable tool prioritizing management interventions. Beyond its technical application, contributes sustainability enabling evidence-based decision-making resource protection planning. It supports integrated, targeted actions can reduce long-term contamination risks, guide sustainable practices, improve institutional capacity governance. approach suited contexts data but planning essential. Future refinement should consider dynamic quality monitoring validation across contrasting hydro-climatic enhance transferability.

Язык: Английский

Процитировано

0

Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India) DOI
Abhijeet Das

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(6)

Опубликована: Май 6, 2025

Язык: Английский

Процитировано

0